ArticlePreventive medicine
Pilot weight control intervention among US veterans to promote diets high in fruits and vegetables.
Article in Preventive medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Scope of Use and Effectiveness of Dietary Interventions for Improving Health-Related Outcomes in Veterans: A Systematic Review.Nutrients · 2022Pooled it
- Characterizing periodic messaging interventions across health behaviors and media: systematic review.Journal of medical Internet research · 2014Pooled it
- Weight Gain Prevention among Midlife Women: A Randomized Controlled Trial to Address Needs Related to the Physical and Social Environment.International journal of environmental research and public health · 2016Trial
- Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults.BMC public health · 2022Review
- Training veterans to provide peer support in a weight-management program: MOVE!Preventing chronic disease · 2013Article
- An examination of sociodemographic, health, psychological factors, and fruit and vegetable consumption among overweight and obese U.S. veterans.Military medicine · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundObesity is a significant problem among US veterans. Diets high in fruits and vegetables (FV) can lower obesity risk. Health communication interventions are promising strategies for promoting healthy eating. We evaluated whether an enhanced intervention with tailored newsletters and motivational interviewing calls would be more effective than the Veterans Affairs (VA) weight management program, MOVE!, at increasing FV intake among overweight/obese veterans.
methodsUsing a quasi-experimental design, 195 veterans at two clinics participated at baseline and 6-month follow-up from 2005 to 2006. Measures included daily FV intake and information processing of the intervention. The control group (MOVE!) received educational information, group sessions, and standard phone calls about weight. The intervention included MOVE! components plus tailored newsletters and motivational interviewing calls.
resultsThe intervention group reported a statistically significant increase in FV servings compared to control (1.7 vs. 1.2; p ≤ 0.05). Veterans who read more of the tailored newsletters (β=0.15, p=0.01) and perceived the messages as important (β=0.12, p<0.01) and applicable to their lives (β=0.12, p<0.01) ate more FV than those who did not. However, receiving MI calls and information processing regarding the calls were not associated with FV intake.
conclusionA tailored intervention can impact short term FV intake for obesity prevention.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.